Neural network models : an analysis
Providing an in-depth treatment of the main topics in neural networks this volume concentrates on multilayer networks and completely connected networks, as well as discussing both analog and digital networks. The central themes are dynamical behaviour, attractors and capacity. Boltzmann machines are...
Salvato in:
| Autore principale: | |
|---|---|
| Natura: | Livre numérique |
| Lingua: | Anglais |
| Pubblicazione: |
Berlin [etc.] :
Springer-Verlag : Springer e-books
[20..].
Cham : Springer Nature |
| Serie: | Lecture notes in control and information sciences
210 |
| Soggetti: | |
| Accesso online: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Neural network models, an analysis, Philippe De Wilde, London, Springer, 1996, 153 p., Lecture notes in control and information sciences, 3-540-19995-0 • Neural Network Models, Texte imprimé, 9783662165560 |
Sommario:
- Key concepts in neural networks
- Backpropagation
- Neurons in the brain
- The fundamental system of differential equations
- Synchronous and discrete networks
- Linear capacity
- Capacity from a signal to noise ratio
- Neural networks and Markov chains.